“Without observations there is no science” (Niels Bohr). Sufficient, manageable and high quality observations are the essential prerequisites to the most effective initiatives based on rational decision making. Meteorological and oceanographic (met-ocean) observations are among the most critical for environmental issues, climate issues, construction design issues, fishery issues etc.

Data Quality Systems uses the term “data qualification” to describe the process required to transform raw data to meet the specified data quality criteria. This process involves people with tasks ranging from project specification, observation specification, providing instruments, observation management, observation engineering, and storage management to data usage.

Data Quality Systems has one mission:

DQS aims at resolving this mission by developing concepts, software tools and related services required by any person in any role relevant to the resulting quality of an observed met-ocean data set.

Any one single person or organization does not accomplish this mission. Data Quality Systems acknowledges this fact and is committed to establish and develop the relations to other organizations relevant to the resulting quality of an observed met-ocean data set.